Contextual tapping engine

ABSTRACT

Various embodiments for contextual tapping engines. For example, an application executing on a computing device may authenticate credentials associated with an account and detect a tap of a contactless card to the computing device. The application may receive, from a communications interface of the contactless card, action data used to determine an action associated with the tap of the contactless card to the computing device. The application may determine a context of the application based on a current output of the application. The application may determine, based on the action data, the determined context, and data associated with the account, a first action associated with the tap of the contactless card to the computing device, the first action associated with at least one of the application and an operating system (OS). The application may initiate performance of the first action based on the tap of the contactless card.

RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.16/826,439, filed on Mar. 23, 2020, which is a continuation of U.S.patent application Ser. No. 16/589,285, filed on Oct. 1, 2019, which isa continuation of U.S. patent application Ser. No. 16/359,987, filed onMar. 20, 2019. The contents of the aforementioned application areincorporated herein by reference in their entireties.

TECHNICAL FIELD

Embodiments herein generally relate to contactless cards, and morespecifically, to contextual tapping engines for contactless cards.

BACKGROUND

Often, tapping a contactless card to a computing device may cause thecomputing device to perform a predefined action. However, the predefinedaction is static, and therefore may not be relevant given the intendedaction a user wishes to perform. Similarly, the predefined action maynot be relevant given the context of the computing device.

SUMMARY

Embodiments disclosed herein provide systems, methods, articles ofmanufacture, and computer-readable media for a contextual tappingengine. According to one example, an application executing on acomputing device may authenticate credentials associated with an accountand detect a tap of a contactless card associated with the account tothe computing device. The application may receive, from a communicationsinterface of the contactless card, action data used at least in part todetermine an action associated with the tap of the contactless card tothe computing device. The application may determine a context of theapplication based at least in part on a current output of theapplication. The application may determine, based on the action data,the determined context, and data associated with the account, a firstaction associated with the tap of the contactless card to the computingdevice, the first action associated with at least one of the applicationand an operating system (OS) executing on the processor circuit. Theapplication may initiate performance of the first action based on thetap of the contactless card to the computing device.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an embodiment of a system to provide a contextualtapping engine.

FIGS. 2A-2B illustrate embodiments of a contextual tapping engine.

FIGS. 3A-3B illustrate embodiments of a contextual tapping engine.

FIG. 4 illustrates an example of defining a rule for a contextualtapping engine.

FIGS. 5A-5B illustrate an example contactless card.

FIG. 6 illustrates an embodiment of a first logic flow.

FIG. 7 illustrates an embodiment of a second logic flow.

FIG. 8 illustrates an embodiment of a third logic flow.

FIG. 9 illustrates an embodiment of a computing architecture.

DETAILED DESCRIPTION

Embodiments disclosed herein provide a contextual tapping engine whichinterprets a tap of a contactless card to a computing device todynamically determine an action to perform on the computing deviceresponsive to the tap. The contextual tapping engine may consider anynumber and type of factors when determining the action to perform. Forexample, the contextual tapping engine may consider one or more of adefault action, a user-defined action, contextually determined actions,and/or predicted actions to determine an action to perform responsive toa given tap. The default action may be a default action specified in amemory of the contactless card. The user-defined action may be an actiondefined by the user and stored in the memory of the contactless card.The contextually determined actions may comprise actions that aredynamically generated by the computing device based at least in part ona current context of the computing device. The predicted actions maycomprise actions generated by the computing device based at least inpart historical data from a plurality of users. Doing so allows adiverse array of relevant actions to be performed responsive to a tap ofa contactless card to a computing device.

For example, a user may receive a new contactless card and tap thecontactless card to a smartphone. Responsive to the tap, the smartphonemay open a card activation page of an account management application,which allows the user to active the card. The smartphone may open thecard activation page based on a uniform resource locator (URL) specifiedas action data in the memory of the contactless card. Once the card isactivated, the user may tap the card to the smartphone again. Thesmartphone may then determine, based on a context of the accountmanagement application, to open an account balance page of the accountapplication. Responsive to another tap of the contactless card, thesmartphone may leverage machine learning to predict an action associatedwith the tap. For example, the smartphone may predict to load auser-defined action page of the account management application. In theuser-defined action page, the user may define an action (e.g., callingcustomer service), which may then be stored in the memory of thecontactless card. The user-defined action may include one or more rules(or criteria) which, if met, cause the smartphone to perform theuser-defined action (e.g., call customer service).

With general reference to notations and nomenclature used herein, one ormore portions of the detailed description which follows may be presentedin terms of program procedures executed on a computer or network ofcomputers. These procedural descriptions and representations are used bythose skilled in the art to most effectively convey the substances oftheir work to others skilled in the art. A procedure is here, andgenerally, conceived to be a self-consistent sequence of operationsleading to the desired result. These operations are those requiringphysical manipulations of physical quantities. Usually, though notnecessarily, these quantities take the form of electrical, magnetic, oroptical signals capable of being stored, transferred, combined,compared, and otherwise manipulated. It proves convenient at times,principally for reasons of common usage, to refer to these signals asbits, values, elements, symbols, characters, terms, numbers, or thelike. It should be noted, however, that all of these and similar termsare to be associated with the appropriate physical quantities and aremerely convenient labels applied to those quantities.

Further, these manipulations are often referred to in terms, such asadding or comparing, which are commonly associated with mentaloperations performed by a human operator. However, no such capability ofa human operator is necessary, or desirable in most cases, in any of theoperations described herein that form part of one or more embodiments.Rather, these operations are machine operations. Useful machines forperforming operations of various embodiments include digital computersas selectively activated or configured by a computer program storedwithin that is written in accordance with the teachings herein, and/orinclude apparatus specially constructed for the required purpose or adigital computer. Various embodiments also relate to apparatus orsystems for performing these operations. These apparatuses may bespecially constructed for the required purpose. The required structurefor a variety of these machines will be apparent from the descriptiongiven.

Reference is now made to the drawings, wherein like reference numeralsare used to refer to like elements throughout. In the followingdescription, for the purpose of explanation, numerous specific detailsare set forth in order to provide a thorough understanding thereof. Itmay be evident, however, that the novel embodiments can be practicedwithout these specific details. In other instances, well knownstructures and devices are shown in block diagram form in order tofacilitate a description thereof. The intention is to cover allmodification, equivalents, and alternatives within the scope of theclaims.

FIG. 1 depicts a schematic of an exemplary system 100, consistent withdisclosed embodiments. As shown, the system 100 includes one or morecontactless cards 101 and one or more mobile devices 110. Thecontactless cards 101 are representative of any type of payment card,such as a credit card, debit card, ATM card, gift card, and the like.The contactless cards 101 may comprise one or more chips (not depicted),such as a radio frequency identification (RFID) chip, configured tocommunicate with the mobile devices 110 via NFC, the EMV standard, orother short-range protocols in wireless communication, or using NFC DataExchange Format (NDEF) tags. Although NFC is used as an examplecommunications protocol herein, the disclosure is equally applicable toother types of wireless communications, such as the EMV standard,Bluetooth, and/or Wi-Fi. The mobile devices 110 are representative ofany type of network-enabled computing devices, such as smartphones,tablet computers, wearable devices, laptops, portable gaming devices,and the like.

As shown, a memory 102 of the contactless card includes a data store ofaction data 103. The action data 103 is representative of any type ofdata that can be interpreted by the tapping engine 115 of the accountapplication 113 to perform an action on the mobile device 110. Forexample, the action data 103 may include a URL which is directed to awebsite, an application (e.g., the account application 113 and/or theother applications 114), an application page (e.g., of the accountapplication 113 and/or the other applications 114 of the mobile device110), a component of the OS 112, or other computing resource. Whenreceived by the tapping engine 115, the tapping engine 115 may cause themobile device 110 to load the resource specified by the URL.

As another example, the action data 103 may include rules, conditions,and/or other data which allows the tapping engine 115 to determine anassociated action. For example, the tapping engine 115 may determine acontext of the mobile device 110, and determine a contextual actionbased on the context of the mobile device 110 and the action data 103.As another example, the tapping engine 115 may generate a predictedaction that predicts the user's intent based on history data (e.g.,prior actions performed by the user and/or other users). The tappingengine 115 may then initiate performance of the contextual action and/orthe predicted action on the mobile device 110.

Furthermore, the action data 103 may store user-defined actions that canbe interpreted by the tapping engine 115 to perform the user-definedaction on the mobile device 110. The user-defined actions in the actiondata 103 may include URLs, as well as one or more rules or otherconditions that must be satisfied before the tapping engine 115 performsthe user-defined actions.

As shown, a memory 111 of the mobile device 110 includes an instance ofan operating system (OS) 112. Example operating systems 112 include theAndroid® OS, iOS®, Linux®, and Windows® operating systems. As shown, theOS 112 includes an account application 113 and one or more otherapplications 114. The account application 113 allows users to performvarious account-related operations, such as viewing account balances,purchasing items, and processing payments. Initially, a user mayauthenticate using authentication credentials to access certain featuresof the account application 113. For example, the authenticationcredentials may include a username and password, biometric credentials,and the like.

As shown, the account application 113 includes the tapping engine 115and data stores of rules 116, user profiles 117, machine learning (ML)models 118, and account data 119. The tapping engine 115 is configuredto determine an action associated with a tap of a contactless card 101to a mobile device 110. As stated, the tapping engine 115 is configuredto determine predefined actions associated with a tap, user-definedactions associated with a tap, generate contextual actions associatedwith a tap, and generate predicted actions associated with a tap.Generally, when the contactless card 101 is tapped to the mobile device110 (e.g., brought into wireless communications range), the mobiledevice 110 may receive one or more records of action data 103 from acommunications interface (e.g., NFC, Bluetooth, EMV, etc.) of thecontactless card 101.

The tapping engine 115 may determine an action to perform on the mobiledevice 110 based at least in part on the action data 103. For example,the action data 103 may specify a URL. In some embodiments, the tappingengine 115 may further determine a context of the mobile device 110 whendetermining the action to perform on the mobile device 110. The tappingengine 115 may determine the context based on any attribute of themobile device 110, such as which applications are executing on themobile device 110, which application is in the foreground of a displayof the mobile device 110, what functions are associated with theforeground application, analyzing data displayed on a display of thedevice, data in the user profiles 117, and/or data in the account data119 (e.g., transaction data, purchase data, etc.).

Further still, in some embodiments, the tapping engine 115 may generatea predicted action which reflects the user's intent when determining theaction to perform on the mobile device 110. For example, the user mayrepeatedly access an account statement page after tapping thecontactless card 101 to the mobile device 110. In such an example, thetapping engine 115 may load the account statement page after detecting atap of the contactless card 101 to the mobile device 110 by the user. Asanother example, the tapping engine 115 may leverage the ML models 118,which are trained based on training data. The training data may describehistorical actions performed responsive to taps of contactless cards todevices by a plurality of different users. During training based on thetraining data, a machine learning (ML) algorithm may generate the MLmodels 118. The ML models 118 may be used to generate a predicted actionfor a given tap of a contactless card 101 to the mobile device 110. Forexample, the tapping engine 115 may provide one or more of the actiondata 103, the determined context, the rules 116, user profiles 117,and/or account data 119 to the ML models 118, which may generate one ormore predicted actions. The ML models 118 may further compute a scorefor each predicted action, where the score reflects a likelihood thatthe action is the action intended by the user. The tapping engine 115may then select the predicted action with the highest score, andinitiate performance of the selected predicted action.

As stated, in some embodiments, the action data 103 specifies a defaultaction (e.g., loading a card activation page of the account application113 when a contactless card 101 that has not been activated for use istapped to the mobile device 110). Therefore, in such an example, thetapping engine 115 loads the account activation page of the accountapplication 113 responsive to the tap of the inactive card. As anotherexample, the action data 103 may include a flag reflecting that the cardhas not been activated, and the tapping engine 115 loads the accountactivation page upon detecting the flag indicating that the card has notbeen activated. As yet another example, the tapping engine 115 maydetermine that the tapping engine 115 has not previously communicatedwith the card 101 to load the account activation page. In anotherexample, a flag may be stored in a server maintained by the issuer ofthe contactless card 101. The flag stored in the server may indicatethat the card has been sent to the customer but not yet activated. Thetapping engine 115 may receive the flag from the server and load theaccount activation page in response. Once the card is activated, adifferent action may be stored as the action data 103. The differentaction may be generated by the contactless card 101 itself, the accountapplication 113, and/or a user.

In other embodiments, the action data 103 specifies a user-definedaction, such calling a customer service department at a phone number.The URL stored in the action data 103 may specify to open a phoneapplication of the OS 112 (e.g., one of the other applications 114) anddial the phone number of the customer service department. In such anexample, the tapping engine 115 opens the phone application and dialsthe phone number for the customer service department for the userresponsive to receiving the action data 103 based on a tap of thecontactless card 101.

As another example, the action data 103 is generic and interpreted bythe tapping engine 115 (e.g., using context and/or prediction) todetermine an associated action. For example, if the user taps thecontactless card 101 to the mobile device 110 while viewing a home pageof the account application 113, the tapping engine 115 may determine thecontext of the mobile device 110 is related to the associated account(e.g., based on the URL of the home page, determining concepts in thetext outputted on the home page, etc.). In response, the tapping engine115 may load an account balance page of the account application 113,which allows the user to view their account balance and other detailedaccount information. Therefore, the tapping engine 115 may monitoractions performed by the user, and store indications of the actions(along with any determined contexts) in the user profiles 117 and/or theaccount data 119. As another example, when the contactless card 101 istapped to the mobile device 110, the tapping engine 115 may determinethe account data 119 reflects that a purchase was made with thecontactless card 101 (e.g., using a web browser of the otherapplications 114) within a predefined amount of time (e.g., 30 seconds,1 minute, etc.). As such, the tapping engine 115 may perform actionsrelated to the purchase. For example, the tapping engine 115 mayprogrammatically schedule a payment for the purchase on the due date. Asanother example, the tapping engine 115 may load a rewards page allowingthe customer to pay for the purchase using rewards points. As yetanother example, the tapping engine 115 may determine an associatedaction based on the presence of one or more form fields in anapplication. For example, the tapping engine 115 may determine that aform field in a web browser currently includes an account number field.The tapping engine 115 may identify the account number field by anysuitable means, such as reading metadata of the form field, reading thesource code of the web page in the web browser, the document objectmodel (DOM) of the web page, etc. Therefore, in such an example, thetapping engine 115 may output a notification specifying to tap thecontactless card 101 to the device 110 to copy the account number of thecard 101 to the account number field.

In some embodiments, once an action is performed responsive to a tap,the tapping engine 115 and/or the account application 113 may output anotification to the user indicating that the action has been performed.Additional notifications may specify to the user that any action can belinked to a card tap, including user-defined actions and/or one or morepredefined actions that the user can select.

The rules 116 generally include one or more rules which may be used bythe tapping engine 115 to determine an action responsive to a tap. Forexample, a rule in the rules 116 may specify to pay for movie ticketswith rewards points if the user spends more than $10 on movie ticketswithin a specified amount of time. In such an example, the tappingengine 115 may detect a tap of the contactless card 101 and analyze theuser's spending data in the account data 119 to determine that the userspent $20 on movie tickets within the specified amount of time. Inresponse, the tapping engine 115 may programmatically generate acontextual action, which may include paying for the movie tickets withreward points, or loading a page of the account application 113 thatallows the user to pay for the movie tickets with rewards points.

In some embodiments, the contactless card 101 may transmit multipleelements of action data 103 to the device 110. For example, an encryptedpackage may include multiple elements of action data 103 and delimitersand/or metadata used by the tapping engine 115 to parse the differentelements of action data 103. In such an example, the single package maybe decrypted, parsed, and used for one or more purposes (e.g., going toa URL, calling a phone number, and/or filling in a form field). Forexample, if multiple elements of action data 103 are separated by commadelimiters, the tapping engine 115 may parse each element based on thecomma delimiters and perform one or more operations associated with eachelement of action data.

FIG. 2A is a schematic 200 depicting an example of the tapping engine115 determining an action responsive to a tap of the contactless card101 to the mobile device 110, according to one embodiment. As shown, theaccount application 113 on the mobile device 110 is outputting acustomer service page which includes frequently asked questions (FAQs)for customer service issues. When the contactless card 101 is tapped tothe mobile device 110, the contactless card 101 may transmit action data103 to the mobile device 110. However, the action data 103 may notspecify what action to perform (e.g., access a URL for an application,page, etc.). Therefore, the tapping engine 115 may determine an actionto perform responsive to the tap.

In at least one embodiment, the tapping engine 115 determines a contextof the mobile device 110 to determine an action to perform. For example,the tapping engine 115 may determine that the customer service page ofthe account application 113 is currently displayed on the mobile device110. For example, the tapping engine 115 may analyze the text of thecustomer service page, and detect concepts related to customer service.Therefore, the tapping engine 115 may determine that the context of themobile device 110 is related to customer service. As such, the tappingengine 115 may determine to perform an action related to customerservice, such as initiating a phone call to customer service, loadingmore detailed customer service pages in the account application 113,etc.

Additionally and/or alternatively, the tapping engine 115 may leveragethe ML models 118 to determine an action associated with the tap of thecontactless card 101 to the mobile device 110. For example, the tappingengine 115 may provide data to the ML models 118 describing the contextof the mobile device 110 (e.g., that the customer service page isdisplayed, that the context is related to customer service, a history ofapplications and/or pages outputted for display on the mobile device110, etc.). Furthermore, the ML models 118 may consider a history of tapactions performed by the associated user responsive and/or a history oftap actions performed by a plurality of users. For example, the historyof tap actions may indicate that the most frequent action performedresponsive to a tap of the contactless card 101 while the customerservice FAQ page is displayed is dialing customer service. The ML models118 may further consider the rules 116, user profiles 117, and/or theaccount data 119. The ML models 118 may then generate one or morecandidate actions to perform and return the candidate action having thehighest score as the action to perform responsive to the tap of thecontactless card 101 to the mobile device 110.

FIG. 2B is a schematic 210 depicting an embodiment where the tappingengine 115 determines to open a phone application to dial customersupport on behalf of the user. As such, the tapping engine 115 mayinitiate the opening of a phone application of the OS 112, and cause thephone application to dial a phone number associated with customersupport. For example, the tapping engine 115 may determine to dialcustomer support based on the determined context of the mobile device110 in FIG. 2A. Additionally and/or alternatively, the ML models 118 maydetermine that calling customer support is the action most likelyintended to be performed by the user (based on the computed score foreach candidate action). Additionally and/or alternatively, the tappingengine 115 may determine to call customer support based on a rulespecified in the rules 116 (and/or the user profiles 117), where therule specifies to call customer service when customer service-relatedpages of the account application 113 are displayed.

FIG. 3A is a schematic 300 depicting an example of the tapping engine115 determining an action responsive to a tap of the contactless card101 to the mobile device 110, according to one embodiment. As stated,when the contactless card 101 is tapped to the mobile device 110, thecontactless card 101 may transmit action data 103 to the mobile device110. However, the action data 103 may be generic and not specify anaction to perform. Therefore, the tapping engine 115 may determine anaction to perform responsive to the tap.

As shown, the account application 113 on the mobile device 110 isoutputting a home page which includes an indication of one more accountsof the user. The tapping engine 115 may receive, from the accountapplication 113, an indication that the home page is outputted fordisplay. The tapping engine 115 may determine an action based on thecontext of the mobile device 110. As stated, the tapping engine 115 maydetermine the context by determining that the home page of the accountapplication 113 is displayed. The tapping engine 115 may furtherdetermine the context by analyzing the output (e.g., any text and/orimages) of the home page to determine concepts associated with the homepage. Therefore, the tapping engine 115 may determine that the contextof the mobile device 110 is related to the accounts of the user. Basedon the determined context, the tapping engine 115 may determine toaccess a detailed account page of the account application 113.

FIG. 3B is a schematic 310 illustrating an embodiment where the tappingengine 115 has caused the account application 113 to load a detailedpage for the account associated with the contactless card 101 (e.g.,based on an account number of the contactless card 101). As stated, thetapping engine 115 may determine to load the detailed page for theaccount responsive to the tap based on the context of the mobile device.Additionally and/or alternatively, the user may have specified a rule116 indicating to load the account detail page when the contactless card101 is tapped while the home page is displayed. Additionally and/oralternatively, the tapping engine 115 may predict, based on the MLmodels 118, that the user intends to load the account detail pageresponsive to the tap.

FIG. 4 is a schematic 400 illustrating an example user-defined actionfor storage in the action data 103 of a contactless card 101, accordingto one embodiment. As shown, a graphical user interface of the accountapplication 113 allows the user to define an action. For example, in GUIelement 401, the user has specified that the action applies to a tap ofthe contactless card 101 while the account application 113 outputs ahome page (e.g., the home page of FIG. 3A). Additionally, in GUI element402, the user has specified that the tap of the contactless card 101while the account application 113 outputs the home page should load adetailed balance page associated with the account (e.g., the accountdetail page of FIG. 3B). The input provided in GUI elements 401 may bemanually entered by the user and/or selected by the user from aplurality of options (e.g., dropdown lists of options). When submitted,the account application 113 generates action data 103-1, which istransmitted to the contactless card 101. The contactless card 101 maythen store the action data 103-1 as a record of action data 103 in thememory of the contactless card 101. In one embodiment, the action data103-1 includes a URL that directs to the account detail page of theaccount application 113. However, in other embodiments, the action data103-1 includes additional information (e.g., a rule specifying that theURL to the account detail page should be followed if the home page ofthe account application 113 is currently open on the mobile device 110).

FIG. 5A illustrates a contactless card 101, which may comprise a paymentcard, such as a credit card, debit card, and/or a gift card. As shown,the contactless card 101 may be issued by a service provider 502displayed on the front or back of the card 101. In some examples, thecontactless card 101 is not related to a payment card, and may comprise,without limitation, an identification card. In some examples, thepayment card may comprise a dual interface contactless payment card. Thecontactless card 101 may comprise a substrate 510, which may include asingle layer or one or more laminated layers composed of plastics,metals, and other materials. Exemplary substrate materials includepolyvinyl chloride, polyvinyl chloride acetate, acrylonitrile butadienestyrene, polycarbonate, polyesters, anodized titanium, palladium, gold,carbon, paper, and biodegradable materials. In some examples, thecontactless card 101 may have physical characteristics compliant withthe ID-1 format of the ISO/IEC 7810 standard, and the contactless cardmay otherwise be compliant with the ISO/IEC 14443 standard. However, itis understood that the contactless card 101 according to the presentdisclosure may have different characteristics, and the presentdisclosure does not require a contactless card to be implemented in apayment card.

The contactless card 101 may also include identification information 515displayed on the front and/or back of the card, and a contact pad 520.The contact pad 520 may be configured to establish contact with anothercommunication device, such as the mobile devices 110, a user device,smart phone, laptop, desktop, or tablet computer. The contactless card101 may also include processing circuitry, antenna and other componentsnot shown in FIG. 5A. These components may be located behind the contactpad 520 or elsewhere on the substrate 510. The contactless card 101 mayalso include a magnetic strip or tape, which may be located on the backof the card (not shown in FIG. 5A).

As illustrated in FIG. 5B, the contact pad 520 of contactless card 101may include processing circuitry 525 for storing and processinginformation, including a microprocessor 530 and the memory 102. It isunderstood that the processing circuitry 525 may contain additionalcomponents, including processors, memories, error and parity/CRCcheckers, data encoders, anti-collision algorithms, controllers, commanddecoders, security primitives and tamper proofing hardware, as necessaryto perform the functions described herein.

The memory 102 may be a read-only memory, write-once read-multiplememory or read/write memory, e.g., RAM, ROM, and EEPROM, and thecontactless card 101 may include one or more of these memories. Aread-only memory may be factory programmable as read-only or one-timeprogrammable. One-time programmability provides the opportunity to writeonce then read many times. A write once/read-multiple memory may beprogrammed at a point in time after the memory chip has left thefactory. Once the memory is programmed, it may not be rewritten, but itmay be read many times. A read/write memory may be programmed andre-programed many times after leaving the factory. A read/write memorymay also be read many times after leaving the factory.

The memory 102 may be configured to store the action data 103, one ormore applets 540, one or more counters 504, and one or more customeridentifiers 507. The one or more applets 540 may comprise one or moresoftware applications configured to execute on one or more contactlesscards, such as a Java® Card applet. However, it is understood thatapplets 540 are not limited to Java Card applets, and instead may be anysoftware application operable on contactless cards or other deviceshaving limited memory. The one or more counters 504 may comprise anumeric counter sufficient to store an integer. The customer identifier507 may comprise a unique alphanumeric identifier assigned to a user ofthe contactless card 101, and the identifier may distinguish the user ofthe contactless card from other contactless card users. In someexamples, the customer identifier 507 may identify both a customer andan account assigned to that customer and may further identify thecontactless card associated with the customer's account.

The processor and memory elements of the foregoing exemplary embodimentsare described with reference to the contact pad, but the presentdisclosure is not limited thereto. It is understood that these elementsmay be implemented outside of the pad 520 or entirely separate from it,or as further elements in addition to processor 530 and memory 102elements located within the contact pad 520.

In some examples, the contactless card 101 may comprise one or moreantennas 555. The one or more antennas 555 may be placed within thecontactless card 101 and around the processing circuitry 525 of thecontact pad 520. For example, the one or more antennas 555 may beintegral with the processing circuitry 525 and the one or more antennas555 may be used with an external booster coil. As another example, theone or more antennas 555 may be external to the contact pad 520 and theprocessing circuitry 525.

In an embodiment, the coil of contactless card 101 may act as thesecondary of an air core transformer. The terminal may communicate withthe contactless card 101 by cutting power or amplitude modulation. Thecontactless card 101 may infer the data transmitted from the terminalusing the gaps in the contactless card's power connection, which may befunctionally maintained through one or more capacitors. The contactlesscard 101 may communicate back by switching a load on the contactlesscard's coil or load modulation. Load modulation may be detected in theterminal's coil through interference. More generally, using the antennas555, processing circuitry 525, and/or the memory 102, the contactlesscard 101 provides a communications interface to communicate via NFC,Bluetooth, and/or Wi-Fi communications.

As explained above, contactless cards 101 may be built on a softwareplatform operable on smart cards or other devices having limited memory,such as JavaCard, and one or more or more applications or applets may besecurely executed. Applets may be added to contactless cards to providea one-time password (OTP) for multifactor authentication (MFA) invarious mobile application-based use cases. Applets may be configured torespond to one or more requests, such as near field data exchangerequests, from a reader, such as a mobile NFC reader (e.g., of themobile device 110), and produce an NDEF message that comprises acryptographically secure OTP encoded as an NDEF text tag.

One example of an NDEF OTP is an NDEF short-record layout (SR=1). Insuch an example, one or more applets 540 may be configured to encode theOTP as an NDEF type 4 well known type text tag. In some examples, NDEFmessages may comprise one or more records. The applets 540 may beconfigured to add one or more static tag records in addition to the OTPrecord.

In some examples, the contactless card 101 and server 120 may includecertain data such that the card may be properly identified. Thecontactless card 101 may comprise one or more unique identifiers (notpictured). Each time a read operation takes place, the counters 104 maybe configured to increment. In some examples, each time data from thecontactless card 101 is read (e.g., by a mobile device 110), the counter104 is transmitted to the server for validation and determines whetherthe counter values 104 are equal (as part of the validation).

In some examples, the one or more applets 540 may be configured tomaintain its personalization state to allow personalization only ifunlocked and authenticated. Other states may comprise standard statespre-personalization. On entering into a terminated state, the one ormore applets 540 may be configured to remove personalization data. Inthe terminated state, the one or more applets 540 may be configured tostop responding to all application protocol data unit (APDU) requests.

The one or more applets 540 may be configured to maintain an appletversion (2 bytes), which may be used in the authentication message. Insome examples, this may be interpreted as most significant byte majorversion, least significant byte minor version. The rules for each of theversions are configured to interpret the authentication message: Forexample, regarding the major version, this may include that each majorversion comprise a specific authentication message layout and specificalgorithms. For the minor version, this may include no changes to theauthentication message or cryptographic algorithms, and changes tostatic tag content, in addition to bug fixes, security hardening, etc.

In some examples, the one or more applets 540 may be configured toemulate an RFID tag. The RFID tag may include one or more polymorphictags. In some examples, each time the tag is read, differentcryptographic data is presented that may indicate the authenticity ofthe contactless card. Based on the one or more applications, an NFC readof the tag may be processed, the data may be transmitted to a server,and the data may be validated at the server.

In some examples, the contactless card 101 and server may includecertain data such that the card may be properly identified. Thecontactless card 101 may comprise one or more unique identifiers (notpictured). Each time a read operation takes place, the counters 504 maybe configured to increment. In some examples, each time data from thecontactless card 101 is read (e.g., by a mobile device 110), the counter504 is transmitted to the server for validation and determines whetherthe counter values 504 are equal (as part of the validation).

The one or more counters 504 may be configured to prevent a replayattack. For example, if a cryptogram has been obtained and replayed,that cryptogram is immediately rejected if the counter 504 has been reador used or otherwise passed over. If the counter 504 has not been used,it may be replayed. In some examples, the counter that is incremented onthe card is different from the counter that is incremented fortransactions. The contactless card 101 is unable to determine theapplication transaction counter 504 is since there is no communicationbetween applets 540 on the contactless card 101. In some examples, thecontactless card 101 may comprise a first applet 540-1, which may be atransaction applet, and a second applet 540-2. Each applet may comprisea counter 504.

In some examples, the counter 504 may get out of sync. In some examples,to account for accidental reads that initiate transactions, such asreading at an angle, the counter 504 may increment but the applicationdoes not process the counter 504. In some examples, when the mobiledevice 110 is woken up, NFC may be enabled and the mobile device 110 maybe configured to read available tags, but no action is taken responsiveto the reads.

To keep the counter 504 in sync, an application, such as a backgroundapplication, may be executed that would be configured to detect when themobile device 110 wakes up and synchronize with the server 120indicating that a read that occurred due to detection to then move thecounter 504 forward. In other examples, Hashed One Time Password may beutilized such that a window of mis-synchronization may be accepted. Forexample, if within a threshold of 10, the counter 504 may be configuredto move forward. But if within a different threshold number, for examplewithin 10 or 1000, a request for performing re-synchronization may beprocessed which requests via one or more applications that the user tap,gesture, or otherwise indicate one or more times via the user's device.If the counter 504 increases in the appropriate sequence, then itpossible to know that the user has done so.

The contactless card 101 is configured to perform a key diversificationtechnique using the counter 504, master key 505, and diversified key 506to secure data (e.g., when transmitting the action data 103 to themobile device 110). Generally, a server (or another computing deviceowned and/or operated by an issuer of the contactless card 101) and thecontactless card 101 may be provisioned with the same master key 505(also referred to as a master symmetric key). More specifically, eachcontactless card 101 is programmed with a distinct master key 505 thathas a corresponding pair in the server. For example, when a contactlesscard 101 is manufactured, a unique master key 505 may be programmed intothe memory 102 of the contactless card 101. Similarly, the unique masterkey 505 may be stored in a record of a customer associated with thecontactless card 101 in the account data 119 of the server (or stored ina different secure location). The master key may be kept secret from allparties other than the contactless card 101 and server.

The master keys 505 may be used in conjunction with the counters 504 toenhance security using key diversification. The counters 504 comprisevalues that are synchronized between the contactless card 101 andserver. The counter value 504 may comprise a number that changes eachtime data is exchanged between the contactless card 101 and the server(and/or the contactless card 101 and the mobile device 110). To enableNFC data transfer between the contactless card 101 and the mobile device110, the account application 113 may communicate with the contactlesscard 101 when the contactless card 101 is sufficiently close to a cardreader 120 of the mobile device 110. Card reader 120 may be configuredto read from and/or communicate with contactless card 101 (e.g., viaNFC, Bluetooth, RFID, etc.). Therefore, example card readers 120 includeNFC communication modules, Bluetooth communication modules, and/or RFIDcommunication modules.

For example, a user may tap the contactless card 101 to the mobiledevice 110, thereby bringing the contactless card 101 sufficiently closeto the card reader 120 of the mobile device 110 to enable NFC datatransfer between the contactless card 101 and the card reader 120 of themobile device 110. After communication has been established betweenmobile device 110 and contactless card 101, the contactless card 101generates a message authentication code (MAC) cryptogram. In someexamples, this may occur when the contactless card 101 is read by theaccount application 113. In particular, this may occur upon a read, suchas an NFC read, of a near field data exchange (NDEF) tag, which may becreated in accordance with the NFC Data Exchange Format. For example, areader, such as the account application 113 and/or the card reader 120,may transmit a message, such as an applet select message, with theapplet ID of an NDEF producing applet. Upon confirmation of theselection, a sequence of select file messages followed by read filemessages may be transmitted. For example, the sequence may include“Select Capabilities file”, “Read Capabilities file”, and “Select NDEFfile”. At this point, the counter value 504 maintained by thecontactless card 101 may be updated or incremented, which may befollowed by “Read NDEF file.” At this point, the message may begenerated which may include a header and a shared secret. Session keysmay then be generated. The MAC cryptogram may be created from themessage, which may include the header and the shared secret. The MACcryptogram may then be concatenated with one or more blocks of randomdata, and the MAC cryptogram and a random number (RND) may be encryptedwith the session key. Thereafter, the cryptogram and the header may beconcatenated, and encoded as ASCII hex and returned in NDEF messageformat (responsive to the “Read NDEF file” message). In some examples,the MAC cryptogram may be transmitted as an NDEF tag, and in otherexamples the MAC cryptogram may be included with a uniform resourceindicator (e.g., as a formatted string). The contactless card 101 maythen transmit the MAC cryptogram to the mobile device 110, which maythen forward the MAC cryptogram to the server for verification asexplained below. However, in some embodiments, the mobile device 110 mayverify the MAC cryptogram.

More generally, when preparing to send data (e.g., to the server and/orthe mobile device 110), the contactless card 101 may increment thecounter value 504. The contactless card 101 may then provide the masterkey 505 and counter value 504 as input to a cryptographic algorithm,which produces a diversified key 506 as output. The cryptographicalgorithm may include encryption algorithms, hash-based messageauthentication code (HMAC) algorithms, cipher-based messageauthentication code (CMAC) algorithms, and the like. Non-limitingexamples of the cryptographic algorithm may include a symmetricencryption algorithm such as 3DES or AES128; a symmetric HMAC algorithm,such as HMAC-SHA-256; and a symmetric CMAC algorithm such as AES-CMAC.The contactless card 101 may then encrypt the data (e.g., the customeridentifier 507 and any other data) using the diversified key 506. Thecontactless card 101 may then transmit the encrypted data to the accountapplication 113 of the mobile device 110 (e.g., via an NFC connection,Bluetooth connection, etc.). The account application 113 of the mobiledevice 110 may then transmit the encrypted data to the server via anetwork (e.g., the Internet). In at least one embodiment, thecontactless card 101 transmits the counter value 504 with the encrypteddata. In such embodiments, the contactless card 101 may transmit anencrypted counter value 504, or an unencrypted counter value 504.

Upon receiving the encrypted customer ID 507, the server may perform thesame symmetric encryption using the counter value 504 as input to theencryption, and the master key 505 as the key for the encryption. Asstated, the counter value 504 may be specified in the data received fromthe mobile device 110, or a counter value 504 maintained by the serverto implement key diversification for the contactless card 101. Theoutput of the encryption may be the same diversified key value 506 thatwas created by the contactless card 101. The server may then decrypt theencrypted customer ID 507 received via the network using the diversifiedkey 506, which reveals the data transmitted by the contactless card 101(e.g., at least the customer identifier 507). Doing so allows the serverto verify the data transmitted by the contactless card 101 via themobile device 110, e.g., by comparing the decrypted customer ID 507 to acustomer ID in the account data for the account.

During the creation process of the contactless card 101, twocryptographic keys may be assigned uniquely per card. The cryptographickeys may comprise symmetric keys which may be used in both encryptionand decryption of data. Triple DES (3DES) algorithm may be used by EMVand it is implemented by hardware in the contactless card 101. By usingthe key diversification process, one or more keys may be derived from amaster key based upon uniquely identifiable information for each entitythat requires a key.

In some examples, to overcome deficiencies of 3DES algorithms, which maybe susceptible to vulnerabilities, a session key may be derived (such asa unique key per session) but rather than using the master key, theunique card-derived keys and the counter may be used as diversificationdata. For example, each time the contactless card 101 is used inoperation, a different key may be used for creating the messageauthentication code (MAC) and for performing the encryption. Thisresults in a triple layer of cryptography. The session keys may begenerated by the one or more applets and derived by using theapplication transaction counter with one or more algorithms (as definedin EMV 4.3 Book 2 A1.3.1 Common Session Key Derivation).

Further, the increment for each card may be unique, and assigned eitherby personalization, or algorithmically assigned by some identifyinginformation. For example, odd numbered cards may increment by 2 and evennumbered cards may increment by 5. In some examples, the increment mayalso vary in sequential reads, such that one card may increment insequence by 1, 3, 5, 2, 2, . . . repeating. The specific sequence oralgorithmic sequence may be defined at personalization time, or from oneor more processes derived from unique identifiers. This can make itharder for a replay attacker to generalize from a small number of cardinstances.

The authentication message may be delivered as the content of a textNDEF record in hexadecimal ASCII format. In another example, the NDEFrecord may be encoded in hexadecimal format.

FIG. 6 illustrates an embodiment of a logic flow 600. The logic flow 600may be representative of some or all of the operations executed by oneor more embodiments described herein. For example, the logic flow 600may include some or all of the operations to determine actions toperform based on a tap of a contactless card 101 to a computing device.Embodiments are not limited in this context.

As shown, the logic flow 600 begins at block 610, where the accountapplication 113 executing on a mobile device 110 authenticatescredentials associated with an account. For example, a user attemptingto access the account application 113 may provide fingerprints, alogin/password combination, or other credentials to access theiraccount(s) in the account application 113. In some embodiments, theaccount application 113 may receive transaction data associated with theaccount (e.g., from a server that processes transactions for theaccount). At block 620, the account application 113 and/or the tappingengine 115 may detect a tap of the contactless card 101 to the mobiledevice 110. For example, the contactless card 101 and the mobile device110 may come within NFC communications range at block 620. At block 630,the account application 113 receives action data 103 of the contactlesscard 101 via a communications interface of the contactless card 101. Theaccount application 113 may then provide the action data 103 to thetapping engine 115. In one embodiment, the contactless card 101 encryptsthe action data 103 using one or more key diversification techniques(e.g., using the counter 504, master key 505, and diversified key 506).The account application 113 may then validate the encrypted action data103, and/or forward the encrypted action data 103 to a server forvalidation.

At block 640, the tapping engine 115 determines a context of the mobiledevice 110. The context may include a context of the OS 112, the accountapplication 113, and/or the other applications 114. For example, thecontext may include determining what application (and/or component ofthe OS1 112) is outputted for display on the mobile device 110, and whatfunctions and/or actions are associated with the application outputtedfor display. At block 650, the tapping engine 115 may optionallygenerate one or more predicted actions based on one or more ML models118. As stated, the ML models 118 may be trained based on training data,where the training data includes historical tapping data for the currentuser and/or a plurality of other users. Doing so allows the ML models118 to accurately predict one or more intended actions associated withthe tap of the contactless card 101 to the mobile device 110 at block620.

At block 660, the tapping engine 115 determines an action associatedwith the tap of the contactless card 101 to the mobile device 110 atblock 620. Generally, the tapping engine 115 may determine the actionbased on one or more of the action data 103, the account data 119 of theauthenticated account, the determined context, the rules 116, and/or theuser profiles 117. For example, as stated, in some embodiments, theaction data 103 specifies the action (e.g., loading content at aspecified URL using the account application 113 and/or the otherapplications 114). As another example, the tapping engine 115 maydetermine that the context of the mobile device 110 is related toactivating an inactive contactless card 101 and load a page of theaccount application 113 that allows the user to activate the contactlesscard 101. As yet another example, the ML models 118 may generate one ormore candidate actions and associated scores. The tapping engine 115 mayselect the candidate action having the highest score.

At block 670, the OS 112, the account application 113, and/or thetapping engine 115 initiates performance of the action determined atblock 660. For example, a phone application of the OS 112 may be openedand a phone number may be dialed for the user. As another example, apage of the account application 113 may be opened. As yet anotherexample, a web page may be loaded by a web browser. At block 680, theaccount application 113 may optionally receive input specifying auser-defined action for a tap of the contactless card 101. At block 690,the user-defined action may be stored as action data 103 in a memory ofthe contactless card 101. Doing so allows the user-defined action to beperformed response to a subsequent tap of the contactless card 101 tothe mobile device 110.

FIG. 7 illustrates an embodiment of a logic flow 700. The logic flow 700may be representative of some or all of the operations executed by oneor more embodiments described herein. For example, the logic flow 700may include some or all of the operations to determine a context of acomputing device. Embodiments are not limited in this context.

As shown, the logic flow 700 begins at block 710, where the tappingengine 115 determines one or more applications that are in theforeground of the OS 112. Stated differently, the tapping engine 115determines one or more applications that are visible on a display of themobile device 110. At block 720, the tapping engine 115 determines acurrent output of the one or more applications determined at block 710.For example, the tapping engine 115 may determine which page isoutputted in a web browser based on a URL of the page. As anotherexample, the tapping engine 115 may analyze text outputted by theapplication. As another example, the tapping engine 115 may determinewhich page of the account application 113 is currently outputted fordisplay.

At block 730, the tapping engine 115 determines one or more functionsassociated with the one or more applications determined at block 710.For example, the tapping engine 115 may determine, based on the URL ofthe web browser, that the web page is associated with transferring fundsfrom one account to another account. As another example, the tappingengine 115 may determine a function associated with the page of theaccount application 113 being outputted. As yet another example, thetapping engine 115 may determine concepts in the text outputted by theapplication, and determine the functions based on the concepts.

At block 740, the tapping engine 115 optionally determines any relevantaccount data 119. For example, the account data 119 may reflectpurchases, transactions, card activations, or other account-relatedoperations. The tapping engine 115 may consider the account data 119when determining the context (e.g., if the user recently completed apurchase with the contactless card 101, the context may include thepurchase). At block 750, the tapping engine 115 determines the contextof the mobile device 110 based on one or more of the determinations madeat blocks 710-740. Doing so allows the tapping engine 115 to determinean action to perform responsive to a tap of the contactless card 101 tothe mobile device 110.

FIG. 8 illustrates an embodiment of a logic flow 800. The logic flow 800may be representative of some or all of the operations executed by oneor more embodiments described herein. For example, the logic flow 800may include some or all of the operations to perform an actionresponsive to a tap of a contactless card 101 to a computing device.Embodiments are not limited in this context.

As shown, the logic flow 800 begins at block 810, where the tappingengine 115 determines that the action data 103 received from thecontactless card 101 (e.g., at block 630 of FIG. 6) specifies a URL. Inresponse, the tapping engine 115 causes the URL to be accessed toinitiate performance of the action specified by the URL. For example, ifthe URL is for a telephone number, the tapping engine 115 may cause theOS 112 to open a phone application and dial the telephone number. Asanother example, if the URL is to a website, the tapping engine 115 maycause the OS 112 to launch a web browser and load the URL.

At block 820, the tapping engine 115 may determine that a user-definedaction is specified (e.g., in the user profiles 117). The tapping engine115 may then initiate performance of the user-defined action. Forexample, a user-defined action in the user profiles 117 may specify toload the home page of the account application 113 as a default action.Therefore, the tapping engine 115 may load the home page in response toa tap of the contactless card 101 to the mobile device 110. At block830, the tapping engine 115 initiates performance of an action specifiedby the rules 116. For example, a default rule 116 may specify to load anaccount detail page of the account application 113 if no action isspecified by the action data 103 and/or if no user-defined action isspecified.

At block 840, the tapping engine 115 may optionally determine one ormore candidate actions based on a context of the mobile device 110. Forexample, the tapping engine 115 may reference mappings between candidateactions and applications, functions, and/or contexts. The tapping engine115 may then select one or more of the candidate actions to performresponsive to a tap of the contactless card 101 to the mobile device110. At block 850, the tapping engine 115 generates one or morepredicted actions based on an ML model 118 that has been trained basedon training data associated with the current user. Doing so considersthe actions of the current user when generating candidate actions. A

At block 860, the tapping engine 115 generates one or more predictedactions based on ML model(s) 118 that have been trained based ontraining data associated with a plurality of users, which may includethe current user. Doing so considers the actions of all users whengenerating candidate actions. At block 870, the tapping engine 115optionally initiates performance of one or more of the candidate actionsdetermined at block 840 and/or the predicted actions generated at blocks850 and/or 860.

In some examples, the contactless card 101 may be tapped to a device,such as one or more computer kiosks or terminals, to verify identity soas to receive a transactional item responsive to a purchase, such as acoffee. By using the contactless card 101, a secure method of provingidentity in a loyalty program may be established. Securely proving theidentity, for example, to obtain a reward, coupon, offer, or the like orreceipt of a benefit is established in a manner that is different thanmerely scanning a bar card. For example, an encrypted transaction mayoccur between the contactless card 101 and the device, which may beconfigured to process one or more tap gestures. As explained above, theone or more applications may be configured to validate identity of theuser and then cause the user to act or respond to it, for example, viaone or more tap gestures. In some examples, data for example, bonuspoints, loyalty points, reward points, healthcare information, etc., maybe written back to the contactless card.

In some examples, the contactless card 101 may be tapped to a device,such as the mobile device 110. As explained above, identity of the usermay be verified by the one or more applications which would then grantthe user a desired benefit based on verification of the identity.

In some embodiments, an example authentication communication protocolmay mimic an offline dynamic data authentication protocol of the EMVstandard that is commonly performed between a transaction card and apoint-of-sale device, with some modifications. For example, because theexample authentication protocol is not used to complete a paymenttransaction with a card issuer/payment processor per se, some datavalues are not needed, and authentication may be performed withoutinvolving real-time online connectivity to the card issuer/paymentprocessor. As is known in the art, point of sale (POS) systems submittransactions including a transaction value to a card issuer. Whether theissuer approves or denies the transaction may be based on if the cardissuer recognizes the transaction value. Meanwhile, in certainembodiments of the present disclosure, transactions originating from amobile device lack the transaction value associated with the POSsystems. Therefore, in some embodiments, a dummy transaction value(i.e., a value recognizable to the card issuer and sufficient to allowactivation to occur) may be passed as part of the example authenticationcommunication protocol. POS based transactions may also declinetransactions based on the number of transaction attempts (e.g.,transaction counter). A number of attempts beyond a buffer value mayresult in a soft decline; the soft decline requiring furtherverification before accepting the transaction. In some implementations,a buffer value for the transaction counter may be modified to avoiddeclining legitimate transactions.

In some examples, the contactless card 101 can selectively communicateinformation depending upon the recipient device. Once tapped, thecontactless card 101 can recognize the device to which the tap isdirected, and based on this recognition the contactless card can provideappropriate data for that device. This advantageously allows thecontactless card to transmit only the information required to completethe instant action or transaction, such as a payment or cardauthentication. By limiting the transmission of data and avoiding thetransmission of unnecessary data, both efficiency and data security canbe improved. The recognition and selective communication of informationcan be applied to a various scenarios, including card activation,balance transfers, account access attempts, commercial transactions, andstep-up fraud reduction.

If the tap of the contactless card 101 is directed to a device runningApple's iOS® operating system, e.g., an iPhone, iPod, or iPad, thecontactless card can recognize the iOS® operating system and transmitdata appropriate data to communicate with this device. For example, thecontactless card 101 can provide the encrypted identity informationnecessary to authenticate the card using NDEF tags via, e.g., NFC.Similarly, if the contactless card tap is directed to a device runningthe Android® operating system, e.g., an Android® smartphone or tablet,the contactless card can recognize the Android® operating system andtransmit appropriate and data to communicate with this device (such asthe encrypted identity information necessary for authentication by themethods described herein).

As another example, the contactless card tap can be directed to a POSdevice, including without limitation a kiosk, a checkout register, apayment station, or other terminal. Upon performance of the tap, thecontactless card 101 can recognize the POS device and transmit only theinformation necessary for the action or transaction. For example, uponrecognition of a POS device used to complete a commercial transaction,the contactless card 101 can communicate payment information necessaryto complete the transaction under the EMV standard.

In some examples, the POS devices participating in the transaction canrequire or specify additional information, e.g., device-specificinformation, location-specific information, and transaction-specificinformation, that is to be provided by the contactless card. Forexample, once the POS device receives a data communication from thecontactless card, the POS device can recognize the contactless card andrequest the additional information necessary to complete an action ortransaction.

In some examples the POS device can be affiliated with an authorizedmerchant or other entity familiar with certain contactless cards oraccustomed to performing certain contactless card transactions. However,it is understood such an affiliation is not required for the performanceof the described methods.

In some examples, such as a shopping store, grocery store, conveniencestore, or the like, the contactless card 101 may be tapped to a mobiledevice without having to open an application, to indicate a desire orintent to utilize one or more of reward points, loyalty points, coupons,offers, or the like to cover one or more purchases. Thus, an intentionbehind the purchase is provided.

In some examples, the one or more applications may be configured todetermine that it was launched via one or more tap gestures of thecontactless card 101, such that a launch occurred at 3:51 pm, that atransaction was processed or took place at 3:56 pm, to verify identityof the user.

In some examples, the one or more applications may be configured tocontrol one or more actions responsive to the one or more tap gestures.For example, the one or more actions may comprise collecting rewards,collecting points, determine the most important purchase, determine theleast costly purchase, and/or reconfigure, in real-time, to anotheraction.

In some examples, data may be collected on tap behaviors asbiometric/gestural authentication. For example, a unique identifier thatis cryptographically secure and not susceptible to interception may betransmitted to one or more backend services. The unique identifier maybe configured to look up secondary information about individual. Thesecondary information may comprise personally identifiable informationabout the user. In some examples, the secondary information may bestored within the contactless card.

In some examples, the device may comprise an application that splitsbills or check for payment amongst a plurality of individuals. Forexample, each individual may possess a contactless card, and may becustomers of the same issuing financial institution, but it is notnecessary. Each of these individuals may receive a push notification ontheir device, via the application, to split the purchase. Rather thanaccepting only one card tap to indicate payment, other contactless cardsmay be used. In some examples, individuals who have different financialinstitutions may possess contactless cards 101 to provide information toinitiate one or more payment requests from the card-tapping individual.

In some examples, the present disclosure refers to a tap of thecontactless card. However, it is understood that the present disclosureis not limited to a tap, and that the present disclosure includes othergestures (e.g., a wave or other movement of the card).

FIG. 9 illustrates an embodiment of an exemplary computing architecture900 comprising a computing system 902 that may be suitable forimplementing various embodiments as previously described. In variousembodiments, the computing architecture 900 may comprise or beimplemented as part of an electronic device. In some embodiments, thecomputing architecture 900 may be representative, for example, of asystem that implements one or more components of the system 100. In someembodiments, computing system 902 may be representative, for example, ofthe mobile devices 110 of the system 100. The embodiments are notlimited in this context. More generally, the computing architecture 900is configured to implement all logic, applications, systems, methods,apparatuses, and functionality described herein.

As used in this application, the terms “system” and “component” and“module” are intended to refer to a computer-related entity, eitherhardware, a combination of hardware and software, software, or softwarein execution, examples of which are provided by the exemplary computingarchitecture 900. For example, a component can be, but is not limited tobeing, a process running on a computer processor, a computer processor,a hard disk drive, multiple storage drives (of optical and/or magneticstorage medium), an object, an executable, a thread of execution, aprogram, and/or a computer. By way of illustration, both an applicationrunning on a server and the server can be a component. One or morecomponents can reside within a process and/or thread of execution, and acomponent can be localized on one computer and/or distributed betweentwo or more computers. Further, components may be communicativelycoupled to each other by various types of communications media tocoordinate operations. The coordination may involve the uni-directionalor bi-directional exchange of information. For instance, the componentsmay communicate information in the form of signals communicated over thecommunications media. The information can be implemented as signalsallocated to various signal lines. In such allocations, each message isa signal. Further embodiments, however, may alternatively employ datamessages. Such data messages may be sent across various connections.Exemplary connections include parallel interfaces, serial interfaces,and bus interfaces.

The computing system 902 includes various common computing elements,such as one or more processors, multi-core processors, co-processors,memory units, chipsets, controllers, peripherals, interfaces,oscillators, timing devices, video cards, audio cards, multimediainput/output (I/O) components, power supplies, and so forth. Theembodiments, however, are not limited to implementation by the computingsystem 902.

As shown in FIG. 9, the computing system 902 comprises a processor 904,a system memory 906 and a system bus 908. The processor 904 can be anyof various commercially available computer processors, including withoutlimitation an AMD® Athlon®, Duron® and Opteron® processors; ARM®application, embedded and secure processors; IBM® and Motorola®DragonBall® and PowerPC® processors; IBM and Sony® Cell processors;Intel® Celeron®, Core®, Core (2) Duo®, Itanium®, Pentium®, Xeon®, andXScale® processors; and similar processors. Dual microprocessors,multi-core processors, and other multi-processor architectures may alsobe employed as the processor 904.

The system bus 908 provides an interface for system componentsincluding, but not limited to, the system memory 906 to the processor904. The system bus 908 can be any of several types of bus structurethat may further interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. Interface adapters may connectto the system bus 908 via a slot architecture. Example slotarchitectures may include without limitation Accelerated Graphics Port(AGP), Card Bus, (Extended) Industry Standard Architecture ((E)ISA),Micro Channel Architecture (MCA), NuBus, Peripheral ComponentInterconnect (Extended) (PCI(X)), PCI Express, Personal Computer MemoryCard International Association (PCMCIA), and the like.

The system memory 906 may include various types of computer-readablestorage media in the form of one or more higher speed memory units, suchas read-only memory (ROM), random-access memory (RAM), dynamic RAM(DRAM), Double-Data-Rate DRAM (DDRAM), synchronous DRAM (SDRAM), staticRAM (SRAM), programmable ROM (PROM), erasable programmable ROM (EPROM),electrically erasable programmable ROM (EEPROM), flash memory (e.g., oneor more flash arrays), polymer memory such as ferroelectric polymermemory, ovonic memory, phase change or ferroelectric memory,silicon-oxide-nitride-oxide-silicon (SONOS) memory, magnetic or opticalcards, an array of devices such as Redundant Array of Independent Disks(RAID) drives, solid state memory devices (e.g., USB memory, solid statedrives (SSD) and any other type of storage media suitable for storinginformation. In the illustrated embodiment shown in FIG. 9, the systemmemory 906 can include non-volatile memory 910 and/or volatile memory912. A basic input/output system (BIOS) can be stored in thenon-volatile memory 910.

The computing system 902 may include various types of computer-readablestorage media in the form of one or more lower speed memory units,including an internal (or external) hard disk drive (HDD) 914, amagnetic floppy disk drive (FDD) 916 to read from or write to aremovable magnetic disk 918, and an optical disk drive 920 to read fromor write to a removable optical disk 922 (e.g., a CD-ROM or DVD). TheHDD 914, FDD 916 and optical disk drive 920 can be connected to thesystem bus 908 by a HDD interface 924, an FDD interface 926 and anoptical drive interface 928, respectively. The HDD interface 924 forexternal drive implementations can include at least one or both ofUniversal Serial Bus (USB) and IEEE 1394 interface technologies. Thecomputing system 902 is generally is configured to implement all logic,systems, methods, apparatuses, and functionality described herein withreference to FIGS. 1-8.

The drives and associated computer-readable media provide volatileand/or nonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For example, a number of program modules canbe stored in the drives and memory units 910, 912, including anoperating system 930, one or more application programs 932, otherprogram modules 934, and program data 936. In one embodiment, the one ormore application programs 932, other program modules 934, and programdata 936 can include, for example, the various applications and/orcomponents of the system 100, e.g., the operating system 112, accountapplication 113, other applications 114, tapping engine 115.

A user can enter commands and information into the computing system 902through one or more wire/wireless input devices, for example, a keyboard938 and a pointing device, such as a mouse 940. Other input devices mayinclude microphones, infra-red (IR) remote controls, radio-frequency(RF) remote controls, game pads, stylus pens, card readers, dongles,finger print readers, gloves, graphics tablets, joysticks, keyboards,retina readers, touch screens (e.g., capacitive, resistive, etc.),trackballs, trackpads, sensors, styluses, and the like. These and otherinput devices are often connected to the processor 904 through an inputdevice interface 942 that is coupled to the system bus 908, but can beconnected by other interfaces such as a parallel port, IEEE 1394 serialport, a game port, a USB port, an IR interface, and so forth.

A monitor 944 or other type of display device is also connected to thesystem bus 908 via an interface, such as a video adaptor 946. Themonitor 944 may be internal or external to the computing system 902. Inaddition to the monitor 944, a computer typically includes otherperipheral output devices, such as speakers, printers, and so forth.

The computing system 902 may operate in a networked environment usinglogical connections via wire and/or wireless communications to one ormore remote computers, such as a remote computer 948. The remotecomputer 948 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentappliance, a peer device or other common network node, and typicallyincludes many or all of the elements described relative to the computingsystem 902, although, for purposes of brevity, only a memory/storagedevice 950 is illustrated. The logical connections depicted includewire/wireless connectivity to a local area network (LAN) 952 and/orlarger networks, for example, a wide area network (WAN) 954. Such LANand WAN networking environments are commonplace in offices andcompanies, and facilitate enterprise-wide computer networks, such asintranets, all of which may connect to a global communications network,for example, the Internet. In embodiments, the network 130 of FIG. 1 isone or more of the LAN 952 and the WAN 954.

When used in a LAN networking environment, the computing system 902 isconnected to the LAN 952 through a wire and/or wireless communicationnetwork interface or adaptor 956. The adaptor 956 can facilitate wireand/or wireless communications to the LAN 952, which may also include awireless access point disposed thereon for communicating with thewireless functionality of the adaptor 956.

When used in a WAN networking environment, the computing system 902 caninclude a modem 958, or is connected to a communications server on theWAN 954, or has other means for establishing communications over the WAN954, such as by way of the Internet. The modem 958, which can beinternal or external and a wire and/or wireless device, connects to thesystem bus 908 via the input device interface 942. In a networkedenvironment, program modules depicted relative to the computing system902, or portions thereof, can be stored in the remote memory/storagedevice 950. It will be appreciated that the network connections shownare exemplary and other means of establishing a communications linkbetween the computers can be used.

The computing system 902 is operable to communicate with wired andwireless devices or entities using the IEEE 802 family of standards,such as wireless devices operatively disposed in wireless communication(e.g., IEEE 802.16 over-the-air modulation techniques). This includes atleast Wi-Fi (or Wireless Fidelity), WiMax, and Bluetooth™ wirelesstechnologies, among others. Thus, the communication can be a predefinedstructure as with a conventional network or simply an ad hoccommunication between at least two devices. Wi-Fi networks use radiotechnologies called IEEE 802.11x (a, b, g, n, etc.) to provide secure,reliable, fast wireless connectivity. A Wi-Fi network can be used toconnect computers to each other, to the Internet, and to wire networks(which use IEEE 802.3-related media and functions).

Various embodiments may be implemented using hardware elements, softwareelements, or a combination of both. Examples of hardware elements mayinclude processors, microprocessors, circuits, circuit elements (e.g.,transistors, resistors, capacitors, inductors, and so forth), integratedcircuits, application specific integrated circuits (ASIC), programmablelogic devices (PLD), digital signal processors (DSP), field programmablegate array (FPGA), logic gates, registers, semiconductor device, chips,microchips, chip sets, and so forth. Examples of software may includesoftware components, programs, applications, computer programs,application programs, system programs, machine programs, operatingsystem software, middleware, firmware, software modules, routines,subroutines, functions, methods, procedures, software interfaces,application program interfaces (API), instruction sets, computing code,computer code, code segments, computer code segments, words, values,symbols, or any combination thereof. Determining whether an embodimentis implemented using hardware elements and/or software elements may varyin accordance with any number of factors, such as desired computationalrate, power levels, heat tolerances, processing cycle budget, input datarates, output data rates, memory resources, data bus speeds and otherdesign or performance constraints.

One or more aspects of at least one embodiment may be implemented byrepresentative instructions stored on a machine-readable medium whichrepresents various logic within the processor, which when read by amachine causes the machine to fabricate logic to perform the techniquesdescribed herein. Such representations, known as “IP cores” may bestored on a tangible, machine readable medium and supplied to variouscustomers or manufacturing facilities to load into the fabricationmachines that make the logic or processor. Some embodiments may beimplemented, for example, using a machine-readable medium or articlewhich may store an instruction or a set of instructions that, ifexecuted by a machine, may cause the machine to perform a method and/oroperations in accordance with the embodiments. Such a machine mayinclude, for example, any suitable processing platform, computingplatform, computing device, processing device, computing system,processing system, computer, processor, or the like, and may beimplemented using any suitable combination of hardware and/or software.The machine-readable medium or article may include, for example, anysuitable type of memory unit, memory device, memory article, memorymedium, storage device, storage article, storage medium and/or storageunit, for example, memory, removable or non-removable media, erasable ornon-erasable media, writeable or re-writeable media, digital or analogmedia, hard disk, floppy disk, Compact Disk Read Only Memory (CD-ROM),Compact Disk Recordable (CD-R), Compact Disk Rewriteable (CD-RW),optical disk, magnetic media, magneto-optical media, removable memorycards or disks, various types of Digital Versatile Disk (DVD), a tape, acassette, or the like. The instructions may include any suitable type ofcode, such as source code, compiled code, interpreted code, executablecode, static code, dynamic code, encrypted code, and the like,implemented using any suitable high-level, low-level, object-oriented,visual, compiled and/or interpreted programming language.

The foregoing description of example embodiments has been presented forthe purposes of illustration and description. It is not intended to beexhaustive or to limit the present disclosure to the precise formsdisclosed. Many modifications and variations are possible in light ofthis disclosure. It is intended that the scope of the present disclosurebe limited not by this detailed description, but rather by the claimsappended hereto. Future filed applications claiming priority to thisapplication may claim the disclosed subject matter in a differentmanner, and may generally include any set of one or more limitations asvariously disclosed or otherwise demonstrated herein.

What is claimed is:
 1. An apparatus, comprising: a processor; and amemory storing instructions which when executed by the processor causethe processor to: receive, by an application executing on the processorfrom a contactless card, action data used to determine an actionassociated with a tap of the contactless card to the apparatus;generate, by a machine learning (ML) model executing on the processor, apredicted action based on the action data; and initiate, by theapplication, performance of the predicted action.
 2. The apparatus ofclaim 1, the memory storing instructions which when executed by theprocessor cause the processor to: determine a context of the applicationbased on at least one function associated with a current output of theapplication, the current output of the application comprising a pageoutputted on a display of the apparatus, wherein the predicted action isfurther generated based on the determined context.
 3. The apparatus ofclaim 1, the memory storing instructions which when executed by theprocessor cause the processor to, prior to initiating performance of thepredicted action: receive, by the application, a rule for initiating theperformance of the predicted action; and determine, by the application,that an account associated with the contactless card satisfies the rule.4. The apparatus of claim 1, the memory storing instructions which whenexecuted by the processor cause the processor to: generate, by the MLmodel based on the action data, a plurality of predicted actionsincluding the predicted action; compute, by the ML model, a respectivescore for each of the predicted actions; and select, by the ML model,the predicted action based on the scores of each predicted action. 5.The apparatus of claim 1, wherein the ML model is generated based ontraining data describing a plurality of actions performed responsive toa plurality of taps of a plurality of contactless cards to a pluralityof devices, wherein the predicted action comprises one or more of: (i) aphone call, (ii) loading a page of the application, (iii) activating acomponent of an operating system (OS) executing on the processor, (iv)accessing a function of a different application executing on the OS, and(v) activating the contactless card.
 6. The apparatus of claim 1, thememory storing instructions which when executed by the processor causethe processor to: receive input specifying a user-defined action toassociate with the tap of the contactless card to the apparatus and acontext of the application; and cause an indication of the user-definedaction being associated with the tap of the contactless card to theapparatus and the context of the application to be stored in a memory ofthe contactless card.
 7. The apparatus of claim 1, the memory storinginstructions which when executed by the processor cause the processorto: determine, by the application, that the action data comprises auniform resource locator (URL); and open, by the application, a page ofthe application associated with the URL.
 8. A non-transitorycomputer-readable storage medium having computer-readable program codeembodied therewith, the computer-readable program code executable by aprocessor circuit of a device to cause the processor circuit to:receive, by an application executing on the processor from a contactlesscard, action data used to determine an action associated with a tap ofthe contactless card to the device; generate, by a machine learning (ML)model executing on the processor, a predicted action based on the actiondata; and initiate, by the application, performance of the predictedaction.
 9. The non-transitory computer-readable storage medium of claim8, further comprising computer-readable program code executable by theprocessor circuit to cause the processor circuit to: determine a contextof the application based on at least one function associated with acurrent output of the application, the current output of the applicationcomprising a page outputted on a display of the device, wherein thepredicted action is further generated based on the determined context.10. The non-transitory computer-readable storage medium of claim 8,further comprising computer-readable program code executable by theprocessor circuit to cause the processor circuit to, prior to initiatingperformance of the predicted action: receive, by the application, a rulefor initiating the performance of the predicted action; and determine,by the application, that an account associated with the contactless cardsatisfies the rule.
 11. The non-transitory computer-readable storagemedium of claim 8, further comprising computer-readable program codeexecutable by the processor circuit to cause the processor circuit to:generate, by the ML model based on the action data, a plurality ofpredicted actions including the predicted action; compute, by the MLmodel, a respective score for each of the predicted actions; and select,by the ML model, the predicted action based on the scores of eachpredicted action.
 12. The non-transitory computer-readable storagemedium of claim 8, wherein the ML model is generated based on trainingdata describing a plurality of actions performed responsive to aplurality of taps of a plurality of contactless cards to a plurality ofdevices, wherein the predicted action comprises one or more of: (i) aphone call, (ii) loading a page of the application, (iii) activating acomponent of an operating system (OS) executing on the processor, (iv)accessing a function of a different application executing on the OS, and(v) activating the contactless card.
 13. The non-transitorycomputer-readable storage medium of claim 8, receive input specifying auser-defined action to associate with the tap of the contactless card tothe device and a context of the application; and store, in a memory ofthe contactless card, an indication of the user-defined action as beingassociated with the tap of the contactless card to the device and thecontext of the application.
 14. The non-transitory computer-readablestorage medium of claim 8, further comprising computer-readable programcode executable by the processor circuit to cause the processor circuitto: determine, by the application, that the action data comprises auniform resource locator (URL); and open, by the application, a page ofthe application associated with the URL.
 15. A computer-implementedmethod, comprising: receiving, by an application executing on aprocessor of a device from a contactless card, action data used todetermine an action associated with a tap of the contactless card to thedevice; generating, by a machine learning (ML) model executing on theprocessor, a predicted action based on the action data; and initiating,by the application, performance of the predicted action.
 16. The methodof claim 15, further comprising: determining a context of theapplication based on at least one function associated with a currentoutput of the application, the current output of the applicationcomprising a page outputted on a display of the device, wherein thepredicted action is further generated based on the determined context.17. The method of claim 15, further comprising prior to initiatingperformance of the predicted action: receiving, by the application, arule for initiating the performance of the predicted action; anddetermining, by the application, that an account associated with thecontactless card satisfies the rule.
 18. The method of claim 15, furthercomprising: generating, by the ML model based on the action data, aplurality of predicted actions including the predicted action;computing, by the ML model, a respective score for each of the predictedactions; and selecting, by the ML model, the predicted action based onthe scores of each predicted action.
 19. The method of claim 15, whereinthe predicted action comprises one or more of: (i) a phone call, (ii)loading a page of the application, (iii) activating a component of anoperating system (OS) executing on the processor, (iv) accessing afunction of a different application executing on the OS, and (v)activating the contactless card, the method further comprising:receiving input specifying a user-defined action to associate with thetap of the contactless card to the device and a context of theapplication; and storing, in a memory of the contactless card, anindication of the user-defined action as being associated with the tapof the contactless card to the device and the context of theapplication.
 20. The method of claim 15, wherein the ML model isgenerated based on training data describing a plurality of actionsperformed responsive to a plurality of taps of a plurality ofcontactless cards to a plurality of devices, wherein the device is oneof the plurality of devices, the method further comprising: determining,by the application, that the action data comprises a uniform resourcelocator (URL); and opening, by the application, a page of theapplication associated with the URL.